全部文献期刊会议图书|学者科研项目
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作者:W.H. Asquith
来源:[J].Journal of Hydrology(IF 2.964), 2020, Vol.583
摘要:Abstract(#br)Hydrometeorologic monitoring networks are ubiquitous in contemporary earth-system science. Network stakeholders often inquire about the importance of sites and their locations when discussing funding and monitoring design. Support vector machines (SVMs) can be useful...
作者:Fangming Tian , Feng Tan , Huan Li
来源:[J].Vibrational Spectroscopy(IF 1.747), 2020, Vol.107
摘要:Abstract(#br)This study reports method for rapid and nondestructive identification of single-grain rice produced in neighboring areas. Four types of representative rice from different areas were selected as experimental samples. A total of 284 single-grain rice Raman spectra...
作者:Zhenya Wang , Ligang Yao , Yongwu Cai
来源:[J].Measurement(IF 1.13), 2020, Vol.156
摘要:Abstract(#br)Rolling bearing fault diagnosis is an important and time sensitive task, to ensure the normal operation of rotating machinery. This paper proposes a fault diagnosis for rolling bearings, based on Generalized Refined Composite Multiscale Sample Entropy (GRCMSE), Super...
作者:Zhong-kai Feng , Wen-jing Niu , Zheng-yang Tang ...
来源:[J].Journal of Hydrology(IF 2.964), 2020, Vol.583
摘要:Abstract(#br)Accurate monthly runoff prediction plays an important role in the planning and management of water resources. However, owing to climate changes and human activities, natural runoff often contains a variety of frequency components, and existing monthly runoff est...
作者:Yan Xue , Dongyang Dou , Jianguo Yang
来源:[J].Measurement(IF 1.13), 2020, Vol.156
摘要:Abstract(#br)Because multi-fault vibration signals in rotating machinery are often more complicated than single faults, human-designed fault feature sets are not yet able to respond adequately to the complex task of fault diagnosis. To address this, a fault diagnosis method, base...
作者:Tahereh Bahraini , Saeedeh Ghazi , Hadi Sadoghi Yazdi
来源:[J].Engineering Applications of Artificial Intelligence(IF 1.625), 2020, Vol.90
摘要:Abstract(#br)Support vector machines (SVM) is one of the prevalent techniques in the machine learning which is applicable in many of the real world classification problems. However, these problems are sensitive to noise and the presence of the outliers in training data. For ...
作者:Yiming Che , Changqing Cheng , Zhao Liu ...
来源:[J].Physica D: Nonlinear Phenomena(IF 1.669), 2020, Vol.405
摘要:Abstract(#br)The vulnerability of real-world dynamic systems or processes to large perturbations has nullified the conventional linear stability analysis. Despite the theoretical advance on computation of Lyapunov functions for dynamics analysis, they oftentimes enlist subtle con...
作者:Bian Gui , Yuhua Zhu , Tong Zhen
来源:[J].Journal of Visual Communication and Image Representation(IF 1.195), 2020
摘要:Abstract(#br)A dehazing method often only shows good results when processing the image for a certain haze concentration. So an adaptive hazy image dehazing method based on SVM is proposed. The innovation points are as follows: Firstly, combining the characteristics of the degrade...
作者:Yongzhen Ge , Shuo Zhao , Xiqiang Zhao
来源:[J].Genomics(IF 3.01), 2020, Vol.112 (2), pp.1941-1946
摘要:Abstract(#br)In this paper, a step-by-step classification algorithm based on double-layer SVM model is constructed to predict the secondary structure of proteins. The most important feature of this algorithm is to improve the prediction accuracy of α + β and α / β classes th...
作者:Long Tang , Yingjie Tian , Wenjun Li ...
来源:[J].Applied Soft Computing Journal(IF 2.14), 2020
摘要:Abstract(#br)Although the structural regularized support vector machine (SRSVM) can enhance the generalization capability of the standard support vector machine (SVM), its current version is used only for binary classification. To make SRSVM adapt to the K -class classification, ...

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